{"id":"W4410719581","doi":"10.1080/23800127.2025.2510124","title":"Beyond destination accessibility: tourism infrastructure across mobilities, technologies and embodiments","year":2025,"lang":"en","type":"article","venue":"Applied Mobilities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; Agencia Estatal de Investigación; Horizon 2020 Framework Programme; Ministerio de Ciencia e Innovación; European Commission","keywords":"Mobilities; Tourism; Business; Economic geography; Transport infrastructure; Regional science; Geography; Transport engineering; Sociology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000853477,0.0002609474,0.0003470516,0.0001186395,0.001068541,0.0002937158,0.0005175438,0.0003553842,0.0001032882],"category_scores_gemma":[0.0002313641,0.0002458999,0.00006548688,0.0005091216,0.002041494,0.0005068547,0.0002205613,0.0003114327,0.000003374357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002295782,"about_ca_system_score_gemma":0.0002559372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007606056,"about_ca_topic_score_gemma":0.002739802,"domain_scores_codex":[0.9978651,0.00006493159,0.0004481239,0.0006808984,0.0003585543,0.0005824193],"domain_scores_gemma":[0.99885,0.0003193489,0.0001185179,0.0005106861,0.0001316921,0.00006971782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002784963,0.0002617932,0.4856476,0.0005830661,0.0001051963,0.000004642202,0.03509887,0.00001736144,0.0005563745,0.2426054,0.001973937,0.2328672],"study_design_scores_gemma":[0.0005654069,0.00005062451,0.1896066,0.00004141351,0.0000386483,1.88337e-7,0.1271209,0.00001019755,0.003446891,0.670401,0.008364291,0.0003539194],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9402176,0.0008763302,0.000138941,0.0004924394,0.0002794971,0.0008771392,0.00004762183,0.0006488913,0.05642158],"genre_scores_gemma":[0.9957305,0.00009788737,0.000687058,0.0001658886,0.00006067593,0.0002831328,0.00002394293,0.00001214382,0.002938807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4277956,"threshold_uncertainty_score":0.9999993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008854608456124716,"score_gpt":0.296938816287627,"score_spread":0.2880842078315023,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}